The Battle of the Agents — 4 Autonomous AI Agents

Everybody is talking about AutoGPT, and other autonomous AI Agents. Having tried them, I can vouch that they aren’t really the “shit” right now, but the potential has me flummoxed. One of the most significant limitations of the current system is its memory capabilities. Recently, I had a conversation with David Shapiro, a well-known AI researcher, and YouTuber, about enhancing AI memory. We discussed the concept of assigning weights and decay to memories. The idea is that as memory ages or remains unused, its weight decreases. Picture a funnel or a tornado shape. At the top, you’ll find the most recent memories. Over time, these memories gradually descend to lower levels. Along the tornado’s 3D axis, there are interconnected threads representing chains of memories. If we can figure out a way to essentially clone the way our brains work, using vector databases — then we’re 90% of the way to AGI, and babyAGI truly becomes babyAGI. My idea essentially is figure a way to store memories such that the more often a memory or similar one is accessed, the higher the weight is, the less it’s ‘refreshed’ or ‘touched’, the lower it goes until it’s purged. I think if we can somehow have a model that actually can rebuild itself from knowledge in the vector databases, then it's important to weed out some random unrelated B.S. In other words, we need to give A.I. dreams, to recalibrate or defragment. All the best “brains” have some sort of way to recharge, it makes us hallucinate more, so maybe it will for our future A.I. overlords. Recap thus far: We need a way to defrag (dreams), and weights (based on time since added, time since accessed, with a sense of slow decaying with time). I thought it was pretty exciting today, when I read that the guy behind langchain either somehow came across my idea, or just came to the same conclusion <a href="https://betterprogramming.pub/the-battle-of-the-agents-4-autonomous-ai-agents-d4e49341128d">Website</a>